NAME¶
mlpack_mean_shift - mean shift clustering
SYNOPSIS¶
mlpack_mean_shift [-h] [-v]
DESCRIPTION¶
This program performs mean shift clustering on the given dataset, storing the
learned cluster assignments either as a column of labels in the file
containing the input dataset or in a separate file.
- --help (-h)
- Default help info.
- --in_place (-P)
- If specified, a column containing the learned cluster assignments will be
added to the input dataset file. In this case, --output_file is
overridden.
- --info [string]
- Get help on a specific module or option. Default value ''.
- --input_file (-i) [string]
- Input dataset to perform clustering on. Default value ''.
- --labels_only (-l)
- If specified, only the output labels will be written to the file specified
by --output_file.
- --max_iterations (-m) [int]
- Maximum number of iterations before mean shift terminates. Default value
1000.
- --radius (-r) [double]
- If the distance between two centroids is less than the given radius, one
will be removed. A radius of 0 or less means an estimate will be
calculated and used for the radius. Default value 0.
- --verbose (-v)
- Display informational messages and the full list of parameters and timers
at the end of execution.
- --version (-V)
- Display the version of mlpack.
OPTIONAL OUTPUT OPTIONS¶
--centroid_file (-C) [string] If specified, the centroids of each
cluster will be written to the given file. Default value ’'.
- --output_file (-o) [string]
- File to write output labels or labeled data to. Default value ''.
For further information, including relevant papers, citations, and theory, For
further information, including relevant papers, citations, and theory, consult
the documentation found at http://www.mlpack.org or included with your consult
the documentation found at http://www.mlpack.org or included with your
DISTRIBUTION OF MLPACK. DISTRIBUTION OF MLPACK.
